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 TitleDate AddedCompany
whitepaper Introducing Data Mining Techniques and Software Engineering to High School Science Students2008-10-25 Institute of Electrical and Electronics Engineers
  This paper describes the activities of a Computer Science doctoral student and a Secondary Education master's student in the design, development, and implementation of a lesson for a high school science class. The graduate students, called Fellows, worked in secondary classrooms in the Cincinnati Public School District as a part of Project STEP at the University of Cincinnati, which is funded by the National Science Foundation GK-12 Program. The Fellows formed partnerships with secondary math and science teachers to generate new lessons, activities, and resources to enhance the STEM skills of high school students. Additionally, the Fellows used their engineering expertise to bring authentic, inquiry-based learning experiences into the classroom and introduced engineering concepts to underserved student populations.

Tags: Data Mining - Analysis		   
whitepaper MVP TV: Gaze Into the Crystal Ball: Reporting in Team System Made Easy!2008-10-24 Microsoft
  The attendee of this webcast will learn how to interpret the build in reports. The presenter shows what's required to create the reports, and how to use Excel pivot tables to connect to the TFS cube for ad hoc reporting.

Tags: Application Development		   
whitepaper Microsoft Dynamics Webcast: SmartList Builder Gets Even Better With the New Excel Report Builder Functionality (Level 100)2008-10-14 Microsoft
  Now one can query more data in more ways, because SmartList Builder gives the access to all the information that one capture, enabling to create the own reports in Microsoft Office Excel from multiple sources. The attendee of this webcast will learn about the new functionality being added to SmartList Builder for Microsoft Dynamics GP. SmartList Builder takes the highly popular, easy-to-use SmartList tool in Microsoft Dynamics GP and dramatically increases its power and range.

Tags: Spreadsheets, Data Mining - Analysis		   
whitepaper The Cost of Privacy: Destruction of Data-Mining Utility in Anonymized Data Publishing2008-08-27 Association for Computing Machinery
  Re-identification is a major privacy threat to public datasets containing individual records. Many privacy protection algorithms rely on generalization and suppression of "Quasi-identifier" attributes such as ZIP code and birthdate. This paper asks whether generalization and suppression of quasi-identifiers offer any benefits over trivial sanitization which simply separates quasi-identifiers from sensitive attributes. Previous work showed that k-anonymous databases can be useful for data mining, but k-anonymization does not guarantee any privacy. By contrast, they measure the tradeoff between privacy (how much can the adversary learn from the sanitized records?) and utility, measured as accuracy of data-mining algorithms executed on the same sanitized records.

Tags: Database Management, Security Management		   
whitepaper Reconstructing Chemical Reaction Networks: Data Mining Meets System Identification2008-08-27 Association for Computing Machinery
  This paper presents an approach to reconstructing chemical reaction networks from time series measurements of the concentrations of the molecules involved. The solution strategy combines techniques from numerical sensitivity analysis and probabilistic graphical models. By modeling a chemical re-action system as a Markov network (undirected graphical model), the paper shows how systematically probing for sensitivities between molecular species can identify the topology of the network. Given the topology, the approach next uses detailed sensitivity profiles to characterize properties of reactions such as reversibility, enzyme-catalysis, and the precise stoichiometries of the reactants and products. The paper demonstrates applications to reconstructing key biological systems including the yeast cell cycle. In addition to network reconstruction, the algorithm finds applications in model reduction and model comprehension.

Tags: Data Mining - Analysis		   
whitepaper iServer Express Report Server for Linux, 90-day Trial Download2008-08-05 BIRT Exchange (Actuate)
  iServer Express is a report server that eliminates the burden of manually fulfilling user requests for reports. It automates the delivery of reports designed with open source BIRT, the most popular Eclipse-based reporting tool. Built-in scheduling and security features simplify the task of securely delivering reports to users. Report management features like job monitoring, versioning and archiving make it possible for administrators to ensure that the reporting environment is operating efficiently. iServer Express can be deployed as a stand-alone report server or as a behind-the-scenes reporting service for other applications.

Tags: Data Mining - Analysis, Data Visualization, Business Intelligence - Data Warehousing, Database Applications		   
whitepaper Rushed? Work Less. Deliver More.2008-08-01 Business Objects
  Give business users the ability to view and update reports from anywhere. As well as to interact with them intuitively. You'll not only have happier end users, but you'll be happier too. Fewer reports to create. And the ability to schedule secure reports for automatic delivery day or night. We're talking about Crystal Reports Server 2008 -- the reporting solution that takes the rush out of IT. FREE 60 day trial.

Tags: Data Visualization, Database Applications		   
whitepaper Researchers Use Commercial Database Tools to Analyze Terabytes of Data More Easily2008-08-01 Microsoft
  The Daggett Research Group within the University of Washington Department of Bioengineering is world-renowned in the study of protein stability, function, and folding. However, because the group had more than 64 terabytes of simulation data stored on more than 10 Linux-based file servers and 100 disks, mining the data was complicated and time-consuming. The Daggett Research Group used Microsoft SQL Server 2005 to address the challenge, taking advantage of the software's relational and Online Analytical Processing (OLAP) capabilities to build a 20-terabyte data warehouse that vastly simplifies the management and analysis of simulation data. By fundamentally changing how the group analyzes simulation results, the solution has accelerated time-to-insight for new discoveries and enabled researchers to investigate questions that were practically impossible to answer in the past.

Tags: Data Mining - Analysis, Database Management		   
whitepaper Best Practices in Operational BI: Converging Analytical and Operational Processes2008-07-07 1105 Media
  There are many challenges involved in implementing Operational Business Intelligence. The challenges discussed in this paper deals primarily with transforming a data warehousing architecture to support just-in-time data delivery. Although there are other ways to deliver just-in-time data to support operational BI, many architects recommend using a data warehousing environment to ensure a consistent set of data for the entire organization.

Tags: Data Mining - Analysis, Business Intelligence - Data Warehousing		   
whitepaper Health Insurer Uses Business Process Analysis Tools to Improve Service, Save $75,0002008-07-01 Microsoft
  Highmark Inc. used internal and external resources in multiple locations to run its short-term disability program, causing inefficiencies and customer dissatisfaction. Management sought to understand the impact of proposed process changes on resources, costs, and service quality. Highmark used information from the Human Capital Group and ProcessView, a business process analysis tool from the Orlando Software Group, to make data-driven decisions.

Tags: Presentation Software		   


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